keel.Algorithms.ImbalancedClassification.CSMethods.MLPerceptronBackpropCS

Class Data

java.lang.Object

keel.Algorithms.ImbalancedClassification.CSMethods.MLPerceptronBackpropCS.Data

public class Data
extends java.lang.Object

Class representing the data

Since:

JDK1.5

Version:

0.1

Author:

Written by Nicolas Garcia Pedrajas (University of Cordoba) 27/02/2007

Field Summary

Fields

Modifier and Type	Field and Description
double[][]	test Testing data
double[][]	train Training data
double[][]	validation Validation data

Constructor Summary

Constructors

Constructor and Description
Data(int n_variables, int n_train, int n_test, int n_val) Constructor
Data(Parameters global) Constructor that receives the parameters (NOT USED)

Method Summary

Modifier and Type	Method and Description
void	ScaleOutputData(Parameters global, double lbound, double ubound) Tipify all data outputs
void	TipifyInputData(Parameters global) Tipify all data inputs

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

train

public double[][] train

Training data

validation

public double[][] validation

Validation data

test

public double[][] test

Testing data

Constructor Detail

Data

public Data(int n_variables,
            int n_train,
            int n_test,
            int n_val)

Constructor

Parameters:

n_variables - Number of variables

n_train - Number of train variables

n_test - Number of test variables

n_val - Number of validation variables

Data

public Data(Parameters global)
     throws java.io.FileNotFoundException,
            java.io.IOException

Constructor that receives the parameters (NOT USED)

Parameters:

global - Global Definition parameters

Throws:

java.io.FileNotFoundException

java.io.IOException

Method Detail

TipifyInputData

public void TipifyInputData(Parameters global)

Tipify all data inputs

Parameters:

global - Global Definition parameters

ScaleOutputData

public void ScaleOutputData(Parameters global,
                            double lbound,
                            double ubound)

Tipify all data outputs

Parameters:

global - Global Definition parameters

lbound - lower bound

ubound - upper bound